This data set takes China as the research area, and the data set includes "decimal_ time”, "lat”, "lon”, "time”, "time_ bounds”, "TWSA_ REC" and "uncertainty" 7 parameters in total. Among them, "decimal_ time” corresponds to decimal time. There are 191 months (163 months for grace data, 17 months for grace-fo data, and 11 months for grace-fo interval) from April 2002 to December 2019. We have not made up for the missing data of individual months between grace or grace-fo data; "LAT" corresponds to the latitude range of the data; "lon" corresponds to the longitude range of the data; "time" corresponds to the annual product day of the data from January 1, 2002; and "time" corresponds to the annual product day of the data from January 1, 2002_ Bounds "; corresponding to the product day of the year corresponding to the start date and end date of each data month. “TWSA_ "REC" is the monthly change of China's regional land water reserves from April 2002 to December 2019; "uncertainty" is the uncertainty between the data and CSR rl06 mascon products. Using grace satellite gravity data CSR grace / grace-fo rl06 mascon solutions (version 02), China Daily grid precipitation real-time analysis system (version 1.0) data, and cn05.1 temperature data sets, the precipitation reconstruction model was established, and the seasonal and trend terms of CSR rl06 mascon products were considered to obtain the data set of land water storage change based on precipitation reconstruction in China. The data quality is good as a whole, and the error of most regions in China is within 5cm. This data set complements the more than one year data gap between grace and grace-fo satellites, and provides a complete time series for long-term land water storage change analysis in China. As the CSR rl06 mascon product, the average value between 2004.0000 and 2009.999 is deducted from this data set. Therefore, the data of 164-174 months (i.e. July 2017 to may 2018) of this data set can be directly extracted as the estimation of land water storage change in the intermittent period.
ZHONG Yulong FENG Wei ZHONG Min MING Zutao
